{"id":3699,"date":"2014-11-26T08:35:53","date_gmt":"2014-11-26T07:35:53","guid":{"rendered":"http:\/\/viscomp.alexandra.dk\/?page_id=3699"},"modified":"2014-11-26T08:35:53","modified_gmt":"2014-11-26T07:35:53","slug":"implementation-of-synthetic-aperture-imaging-on-a-hand-held-device","status":"publish","type":"page","link":"https:\/\/viscomp.alexandra.dk\/?page_id=3699","title":{"rendered":"Implementation of synthetic aperture imaging on a hand-held device"},"content":{"rendered":"<p>Martin Christian Hemmsen[1], Thomas Kjeldsen[2], Lee Lassen[2], Carsten Kj\u00e6r[3], Borislav Tomov[1], Jesper Mosegaard[2], and J\u00f8rgen Arendt Jensen[1]\n<p \/>\n[1] Dept. of Elec. Eng. Tech., Univ. of Denmark, Lyngby, Denmark<br \/>\n[2] Alexandra Institute, Aarhus N, Denmark<br \/>\n[3] BK Medical, Herlev, Denmark<\/p>\n<p><a href=\"http:\/\/ieeexplore.ieee.org\/xpls\/abs_all.jsp?arnumber=6931958&#038;tag=1\" title=\"citation\">Ultrasonics Symposium (IUS), 2014 IEEE International, 2177 &#8211; 2180 (2014)<\/a><\/p>\n<p><a href=\"http:\/\/viscomp.alexandra.dk\/wp-content\/uploads\/2014\/11\/Selection_028.png\"><img loading=\"lazy\" src=\"http:\/\/viscomp.alexandra.dk\/wp-content\/uploads\/2014\/11\/Selection_028-300x273.png\" alt=\"sasb_handheld\" width=\"300\" height=\"273\" class=\"alignnone size-medium wp-image-3707\" \/><\/a><\/p>\n<p><strong>Abstract<\/strong><br \/>\nThis paper presents several implementations of Synthetic Aperture Sequential Beamforming (SASB) on commercially available hand-held devices. The implementations include real-time wireless reception of ultrasound radio frequency signals and GPU processing for B-mode imaging. The proposed implementation demonstrates that SASB can be executed in-time for real-time ultrasound imaging. The wireless communication between probe and processing device satisfies the required bandwidth for real-time data transfer with current 802.11ac technology. The implementation is evaluated using four different hand-held devices all with different chipsets and a BK Medical UltraView 800 ultrasound scanner emulating a wireless probe. The wireless transmission is benchmarked using an imaging setup consisting of 269 scan lines \u00d7 1472 complex samples (1.58 MB pr. frame, 16 frames per second). The measured data throughput reached an average of 28.8 MB\/s using a LG G2 mobile device, which is more than the required data throughput of 25.3 MB\/s. Benchmarking the processing performance for B-mode imaging showed a total processing time of 18.9 ms (53 frames\/s), which is less than the acquisition time (62.5 ms).<\/p>\n<p><strong>Paper<\/strong><br \/>\n<a href=\"http:\/\/viscomp.alexandra.dk\/wp-content\/uploads\/2014\/09\/hemmsen_et_al_IEEE_2014.pdf\">Preprint<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Martin Christian Hemmsen[1], Thomas Kjeldsen[2], Lee Lassen[2], Carsten Kj\u00e6r[3], Borislav Tomov[1], Jesper Mosegaard[2], and J\u00f8rgen Arendt Jensen[1] [1] Dept. of Elec. Eng. Tech., Univ. of Denmark, Lyngby, Denmark [2] Alexandra Institute, Aarhus N, Denmark [3] BK Medical, Herlev, Denmark Ultrasonics Symposium (IUS), 2014 IEEE International, 2177 &#8211; 2180 (2014) Abstract This paper presents several implementations of Synthetic Aperture Sequential Beamforming (SASB) on commercially available hand-held devices. The implementations include real-time wireless reception of ultrasound radio frequency signals and GPU processing for B-mode imaging. The proposed implementation demonstrates that SASB can be executed in-time for real-time ultrasound imaging. The wireless communication between probe and processing device satisfies the required bandwidth for real-time data transfer with current 802.11ac technology. The implementation is evaluated using four different hand-held devices all with different chipsets and a BK Medical UltraView 800 ultrasound scanner emulating a wireless probe. The wireless transmission is benchmarked using an imaging setup consisting of 269 scan lines \u00d7 1472 complex samples (1.58 MB pr. frame, 16 frames per second). The measured data throughput reached an average of 28.8 MB\/s using a LG G2 mobile device, which is more than the required data throughput of 25.3 MB\/s. Benchmarking the processing performance for B-mode imaging showed a total processing time of 18.9 ms (53 frames\/s), which is less than the acquisition time (62.5 ms). Paper Preprint<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":895,"menu_order":0,"comment_status":"open","ping_status":"open","template":"","meta":[],"_links":{"self":[{"href":"https:\/\/viscomp.alexandra.dk\/index.php?rest_route=\/wp\/v2\/pages\/3699"}],"collection":[{"href":"https:\/\/viscomp.alexandra.dk\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/viscomp.alexandra.dk\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/viscomp.alexandra.dk\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/viscomp.alexandra.dk\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=3699"}],"version-history":[{"count":0,"href":"https:\/\/viscomp.alexandra.dk\/index.php?rest_route=\/wp\/v2\/pages\/3699\/revisions"}],"up":[{"embeddable":true,"href":"https:\/\/viscomp.alexandra.dk\/index.php?rest_route=\/wp\/v2\/pages\/895"}],"wp:attachment":[{"href":"https:\/\/viscomp.alexandra.dk\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=3699"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}